Virtual Digital Economy Seminar

The Virtual Digital Economy Seminar (VIDE) is an open online international and inter-institutional seminar on the digital economy. All seminars are on Thursdays at 8:00am Los Angeles - 11:00am New York - 4:00pm London - 5:00pm Berlin - 6:00pm Tel Aviv.
The schedule can be imported as aGoogle calendar here or as anics file here.
Follow the series on Twitter: @DigitalEconOrg.

Upcoming Events

Date
Speaker
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Previous Events

Date
Speaker
Title

Free digital goods and economic welfare

The Production and Consumption of Social Media

Dog Eat Dog: Measuring Network Effects Using a Digital Platform Merger

Social Media and Newsroom Production Decisions

Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market

Strategic Automation and Decision-Making Authority

Flagship Entry: Evidence from Alibaba

Attention and Inattention to Baseball Telecasts: Implications for Content (Re-)Design

Discovering Firms' Data Strategies: A Topic Modeling Approach

Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics

Where the Cloud Rests: The Economic Geography of Data Centers

Go to You Tube and Call Me in the Morning: Use of Social Media for Chronic Conditions

Firm Organization in the Digital Age: IT Use and Vertical Transactions in U.S. Manufacturing

The Robot Revolution: Managerial and Employment Consequences for Firms

Apparent Algorithmic Bias and Algorithmic Learning

Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic

Luis Cabral (New York University), Fiona Scott-Morton (Yale University), and Tommaso Valletti (Imperial College London)

Special Panel Session on "Merger Policy in Digital Markets"

Mobile Targeting Using Customer Trajectory Patterns & Nudging Mobile Customers with Real-Time Social Dynamics

Social Distancing, Internet Access and Inequality

Could Machine Learning be a General Purpose Technology? Evidence from Online Job Postings

Digitization and Product Discovery: The Causal and Welfare Impacts of Reviews and Crowd Ratings